75 citations · 105 across the 5 of their papers we have counts for
5 papers
Large Language Models on Fine-grained Emotion Detection Dataset with Data Augmentation and Transfer Learning
Kaipeng Wang, Zhi Jing, Yongye Su +1
This paper delves into enhancing the classification performance on the GoEmotions dataset, a large, manually annotated dataset for emotion detection in text. The primary goal of th…
Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
Jing Su, Chufeng Jiang, Xin Jin +7
This systematic literature review comprehensively examines the application of Large Language Models (LLMs) in forecasting and anomaly detection, highlighting the current state of r…
When Large Language Models Meet Vector Databases: A Survey
Zhi Jing, Yongye Su, Yikun Han +5
This survey explores the synergistic potential of Large Language Models (LLMs) and Vector Databases (VecDBs), a burgeoning but rapidly evolving research area. With the proliferatio…
Does resistance to style-transfer equal Global Shape Bias? Measuring network sensitivity to global shape configuration
Ziqi Wen, Tianqin Li, Zhi Jing +1
Deep learning models are known to exhibit a strong texture bias, while human tends to rely heavily on global shape structure for object recognition. The current benchmark for evalu…
Variational Autoencoder for Anti-Cancer Drug Response Prediction
Hongyuan Dong, Jiaqing Xie, Zhi Jing +1
Cancer is a primary cause of human death, but discovering drugs and tailoring cancer therapies are expensive and time-consuming. We seek to facilitate the discovery of new drugs an…